aevatar-agent-framework
aevatar-agent-framework contém 19 skills coletadas de aevatarAI, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Govern canon changes: require explicit reason/impact/retroactive policy, and produce an actionable propagation plan.
Turn "AI draft -> author edits" diffs into structured deviation items, an author-intent prompt, and a concrete propagation plan.
Help the author write narrative unit tests (rules/constraints) and interpret failures with a concrete fix roadmap.
Simulate multiple reader personas to score a chapter (爽点/困惑/信息负荷) and propose actionable alternatives.
Manage rewrite branches: when to branch, how to compare, and how to merge back with minimal chaos.
Maintain a structured Setup/Payoff ledger (promises, debts, payoffs) and generate a payoff roadmap.
Define what the Story Control Panel shows, how to compute signals, and how the author should act on alerts.
Aggregate a writing session into a readable log + a reusable author-intent prompt.
Evaluate arithmetic expressions precisely by calling py_calc (python-file tool).
Lookup up-to-date library docs via Context7 MCP (resolve-library-id / get-library-docs).
Read environment variables via get_env tool (mask secrets).
Read a small snippet of a text file using file_read.
Grep the workspace for a pattern using file_search.
Pretty-print JSON via json_prettify tool.
Browse local workspace files via MCP filesystem tools (docker-fs).
Convert text to URL-friendly slug via slugify tool.
Compute text stats via text_stats tool.
Provide accurate current time by calling get_time tool.
Provide accurate current time by calling get_time tool.